AnderZ

AnderZ — CS2 Stats

NO76561198192746586[U:1:232480858]Steam profile ↗✓ No bans

2,795Tracked matches60%Win rate2023Tracked since
2,988Hours in CS
CSDB Rating5.9 SolidPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

+60Tracked matches · now 2,795
+10.0ppWin rate · 50.0% → 60.0%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 46 days played since 22 Apr 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

46Days played since 2026-04-22

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=14,086), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate46.0%46.8%48.3%2.2% short
Shot accuracy8.0%13.0%13.2%5.3% short
Kill/death ratio0.911.061.070.16 short
Match win rate47.9%46.3%46.9%above

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAnderZFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim58
Positioning64
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateWWWLLWLWLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +5.2pp headshot accuracy · +23ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 577ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 572ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 560ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim5.8
Utility6.2
Positioning6.4
Opening Duels3.9
Clutch4.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 75% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 560ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.8
Positioning6.4
Utility6.2
Mechanics4.4
Opening Duels4.5
Win Impact8.3

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time565ms−71ms
first ⅓ avg 636ms → last ⅓ avg 565ms
Headshot accuracy19.9%−1.5%
first ⅓ avg 21.4% → last ⅓ avg 19.9%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.11Best match rating · 13–9 · ancient, 27 Jul →
39%Best headshot accuracy · 13–10 · mirage, 15 Aug →
422msFastest reaction time · 19–17 · ancient, 22 Sept →
13–2Biggest win · inferno, 16 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
7–10In matches decided by ≤2 rounds
16Overtime games

Map breakdown

infernoBest map · 64% over 14cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
ancientC2912–1741%-0.01
mirageB2412–1250%-0.01
infernoA149–564%0.01
dust2B137–654%-0.02
anubisC125–742%0.02
cacheD51–420%-0.03
overpass—22–0100%0.04
nuke—11–0100%-0.01

Across the last 100 tracked matches.

Lifetime stats

120,374Lifetime kills
0.91K/D
6,101Matches
47.9%Match win rate · Top 50% of Level 8 players
46.0%Headshot %
8.0%Shot accuracy
13,732MVPs
2,988Hours (in match)
5,198Bombs planted
1,748Bombs defused

Most-used weapons

AK-4732,623
AWP19,338
P903,414
MAC-103,131
FAMAS2,581
P2502,532

Lifetime map wins

13,483inferno
10,674dust2
2,775nuke
2,747cbble
1,408train
1,225vertigo
32italy
12office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,402Matches
49%Win rate
1.00Avg K/D
81.6ADR
49%Headshot %

Clutches & streaks

41%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage28548%0.9915.6
Inferno24060%1.0815.8
Ancient23849%1.0216.1
Anubis20044%1.0016.4
Dust211048%1.0216.0
Nuke5544%0.8813.8
Cache3842%0.9614.6
Vertigo2148%0.9014.8

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.3%Headshot accuracy
29.2%Accuracy (enemy spotted)
30.2%Spray accuracy
69.9%Counter-strafing
8.8°Preaim
560msReaction time
46.8%T opening success
49.4%CT opening success
0.49Enemies flashed / flash
5.1%Flash assists
9.18HE damage / grenade
12.10Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4903 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke16–13-0.0119%22 Sept →
ancient19–17-0.0222%22 Sept →
ancient13–10-0.0226%21 Sept →
inferno16–19-0.0136%21 Sept →
mirage16–19-0.0326%21 Sept →
inferno13–9-0.0219%21 Sept →
ancient11–13-0.0311%18 Sept →
mirage13–5-0.0029%18 Sept →
mirage8–13-0.0517%17 Sept →
mirage8–13-0.0423%17 Sept →
anubis7–13-0.0127%17 Sept →
inferno13–110.0410%16 Sept →
mirage13–5-0.0215%16 Sept →
mirage13–8-0.0022%16 Sept →
anubis13–80.0615%16 Sept →
dust213–6-0.0513%16 Sept →
mirage16–14-0.0215%13 Sept →
mirage13–30.0426%9 Sept →
mirage10–130.0120%8 Sept →
ancient13–50.0312%8 Sept →
anubis11–130.0017%7 Sept →
cache6–13-0.0517%7 Sept →
inferno13–90.0631%7 Sept →
anubis11–130.0618%7 Sept →
ancient6–13-0.0519%3 Sept →
mirage12–16-0.0314%1 Sept →
anubis13–110.0733%1 Sept →
cache13–5-0.029%31 Aug →
ancient13–100.0119%31 Aug →
inferno13–4-0.0118%30 Aug →
mirage13–4-0.058%26 Aug →
anubis11–13-0.0413%21 Aug →
mirage13–100.0139%15 Aug →
mirage13–80.0117%15 Aug →
anubis2–13-0.0632%13 Aug →
mirage0–11-0.0217%13 Aug →
cache6–13-0.0330%12 Aug →
inferno13–4-0.0224%11 Aug →
mirage13–90.0525%7 Aug →
anubis13–80.0525%7 Aug →
ancient11–130.0514%6 Aug →
mirage13–10-0.0217%4 Aug →
ancient9–13-0.0815%3 Aug →
dust25–13-0.0423%1 Aug →
anubis9–130.0315%1 Aug →
ancient8–13-0.0117%30 Jul →
cache10–13-0.0317%29 Jul →
ancient4–13-0.0414%29 Jul →
inferno14–16-0.0324%28 Jul →
dust26–13-0.0522%28 Jul →
dust216–19-0.0815%27 Jul →
ancient13–90.1117%27 Jul →
anubis13–60.0524%27 Jul →
inferno16–140.0230%27 Jul →
mirage2–13-0.0515%27 Jul →
ancient11–130.0517%19 Jul →
ancient13–40.007%19 Jul →
inferno9–13-0.0315%19 Jul →
ancient14–16-0.0015%17 Jul →
ancient10–13-0.0024%17 Jul →
mirage6–13-0.0016%16 Jul →
inferno13–20.0728%16 Jul →
ancient9–13-0.0415%16 Jul →
mirage13–16-0.0324%2 Jul →
inferno13–80.0015%30 Jun →
ancient2–13-0.0121%29 Jun →
ancient13–70.0226%29 Jun →
overpass13–60.0024%29 Jun →
dust28–13-0.0325%28 Jun →
dust225–230.0112%31 May →
ancient13–100.0425%31 May →
anubis10–130.0422%27 May →
dust213–90.0227%26 May →
mirage3–13-0.0620%12 May →
ancient11–13-0.0027%6 May →
dust216–130.0227%6 May →
ancient6–13-0.0711%6 May →
inferno9–130.0424%6 May →
anubis13–10-0.0119%1 May →
dust213–10-0.0614%1 May →
ancient13–60.0119%1 May →
ancient5–13-0.0022%1 May →
mirage16–190.0115%30 Apr →
ancient9–13-0.0722%30 Apr →
dust28–13-0.0019%30 Apr →
mirage11–13-0.0128%29 Apr →
dust21–13-0.124%29 Apr →
cache3–13-0.0118%29 Apr →
ancient13–60.0327%29 Apr →
ancient8–13-0.0320%28 Apr →
dust213–60.0827%28 Apr →
mirage13–9-0.0320%28 Apr →
inferno16–120.0620%25 Apr →
ancient13–60.0128%25 Apr →
dust216–13-0.0023%22 Apr →
inferno5–13-0.0617%22 Apr →
overpass13–50.0718%22 Apr →
ancient13–9-0.0321%22 Apr →
mirage13–110.0239%22 Apr →
ancient9–13-0.0125%22 Apr →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →